Advanced Search
Content Type: Examples
UK police were almost seven times more likely to issue fines to black, Asian, and minority ethnic people than white feel for lockdown infractions. The exact figures varied around the UK; in Cumbria, which is mostly white and where people from a BAME background are more likely to be visitors, it was 6.8, while in Lincolnshire and Avon and Somerset it was 4.4 and in West Midlands it was 1.6. The National Police Chiefs’ Council said it had commissioned a detailed statistical analysis of the force-…
Content Type: Examples
Chinese police are using equipment from the US company Thermo-Fisher to collect blood samples from 35 million to 70 million men and boys to build a genetic map of the country's 700 million males to add to its existing database of 80 million genetic profiles. The database would allow the authorities to track down a man's male relatives using only his blood, saliva, or other genetic material. The project, which is meeting opposition from within China, is a substantial escalation of China's…
Content Type: Long Read
Introduction
In August 2019, when Facebook announced a few new features for advertisers such as ads in search, PI decided to take an in-depth look at what features the company offers its users when it comes to understanding its advertising practices. One of these features, which caught our attention is Facebook Ads Preference, a tool that among other things, lists businesses/advertisers that have uploaded your personal data to target you with (or exclude you from) ads on the platform.
Content Type: Examples
Academics have disclosed today a new vulnerability in the Bluetooth wireless protocol, broadly used to interconnect modern devices, such as smartphones, tablets, laptops, and smart IoT devices.
The vulnerability, codenamed BIAS (Bluetooth Impersonation AttackS), impacts the classic version of the Bluetooth protocol, also known as Basic Rate / Enhanced Data Rate, Bluetooth BR/EDR, or just Bluetooth Classic.
The BIAS attack
The BIAS security flaw resides in how devices handle the link key,…
Content Type: Examples
“The BlueBorne attack vector requires no user interaction, is compatible to all software versions, and does not require any preconditions or configurations aside of the Bluetooth being active,” warned the researchers.
“Unlike the common misconception, Bluetooth enabled devices are constantly searching for incoming connections from any devices, and not only those they have been paired with,” they added.
“This means a Bluetooth connection can be established without pairing the devices at all.…
Content Type: Examples
An engineering and computer science professor and his team from The Ohio State University discovered a design flaw in low-powered Bluetooth devices that leaves them susceptible to hacking.
Zhiqiang Lin, associate professor of computer science and engineering at the university, found the commonly used Bluetooth Low Energy devices, such as fitness trackers and smart speakers, are vulnerable when they communicate with their associated apps on the owner’s mobile phone.
"There is a fundamental…
Content Type: Examples
The Lumi by Pampers nappies will track a child's urine (not bowel movements) and comes with an app that helps you "Track just about everything". The activity sensor that is placed on the nappy also tracks a baby's sleep.
Concerns over security and privacy have been raised, given baby monitors can be susceptible to hackers and any app that holds personal information could potentially expose that information.
Experts say the concept could be helpful to some parents but that there…
Content Type: Examples
In August 2017, it was reported that a researcher scraped videos of transgender Youtubers documenting their transition process without informing them or asking their permission, as part of an attempt to train artificial intelligence facial recognition software to be able to identify transgender people after they have transitioned.
These videos were primarily of transgender people sharing the progress and results of hormone replacement therapy, including video diaries and time-lapse videos. The…
Content Type: Examples
In January 2019, Facebook announced that as of February 28 the site would add more information to that displayed when users click on the "Why am I seeing this?" button that appears next to ads on the service. Along with the brand that paid for the ad, some of the biographical details they'd targeted, and whether they'd uploaded the user's contact information, Facebook would also show when the contact information was uploaded, whether it was by the brand or one of their partners, and when access…
Content Type: Examples
In August 2018, banks and merchants had begun tracking the physical movements users make with input devices - keyboard, mouse, finger swipes - to aid in blocking automated attacks and suspicious transactions. In some cases, however, sites are amassing tens of millions of identifying "behavioural biometrics" profiles. Users can't tell when the data is being collected. With passwords and other personal information used to secure financial accounts under constant threat from data breaches, this…
Content Type: Examples
Cookies and other tracking mechanisms are enabling advertisers to manipulate consumers in new ways. For $29, The Spinner will provide a seemingly innocent link containing an embedded cookie that will allow the buyer to deliver targeted content to their chosen recipient. The service advertises packages aimed at men seeking to influence their partners to initiate sex, people trying to encourage disliked colleagues to seek new jobs, and teens trying to get their parents to get a dog. However,…
Content Type: Examples
In October 2018, researcher Johannes Eichstaedt led a project to study how the words people use on social media reflect their underlying psychological state. Working with 1,200 patients at a Philadelphia emergency department, 114 of whom had a depression diagnosis, Eichstaedt's group studied their EMRs and up to seven years of their Facebook posts. Matching every person with a depressive diagnosis with five who did not, to mimic the distribution of depression in the population at large, from…
Content Type: Examples
In 2018, economists Marianne Bertrand and Emir Kamenica at the University of Chicago Booth School of Business showed that national divisions are so entrenched that details of what Americans buy, do, and watch can be used to predict, sometimes with more than 90% accuracy, their politics, race, income, education, and gender. In a paper published by the National Bureau of Economic Research, the economists taught machine algorithms to detect patterns in decades of responses to three long-running…
Content Type: Examples
In 2017, Britain's' two biggest supermarkets, Tesco and Sainsbury's, which jointly cover 45% of the UK's grocery market, announced they would offer discounts on car and home insurance based on customers' shopping habits. For example, based on data from its Nectar card loyalty scheme, Sainsbury's associates reliable, predictable patterns of visits to stores with safer and more cautious driving, and therefore offers those individuals cheaper insurance. For some products, Sainsbury's also mines…
Content Type: Examples
In 2018, based on an analysis of 270,000 purchases between October 2015 and December 2016 on a German ecommerce site that sells furniture on credit, researchers at the National Bureau of Economic Research found that variables such as the type of device could be used to estimate the likelihood that a purchaser would default. The difference in rates of default between users of iOS and Android was about the same as the difference between a median FICO credit score and the 80th percentile of FICO…
Content Type: Examples
In July 2018, Dutch researcher Foeke Postma discovered that Polar, the manufacturer of the world's first wireless heart rate monitor manufacturer, was exposing the heart rates, routes, dates, times, duration, and pace of exercises performed by individuals at military sites and at their homes via its social platform, Polar Flow. Polar placed these individuals at particular risk by showing all the exercises a particular individual has completed since 2014 on a single global map. Postma was able…
Content Type: Examples
In June 2018, Uber filed a US patent application for technology intended to help the company identify drunk riders by comparing data from new ride requests to past requests made by the same user. Conclusions drawn from data such as the number of typos or the angle at which the rider is holding the phone would determine which, if any, driver they were matched with. What plans the company may have for the technology is unknown; however, critics expressed concerns that it could deter prospective…
Content Type: Examples
In April 2018, the Austrian cabinet agreed on legislation that required asylum seekers would be forced to hand over their mobile devices to allow authorities to check their identities and origins. If they have been found to have entered another EU country first, under the Dublin regulation, they can be sent back there. The number of asylum seekers has dropped substantially since 2016, when measures were taken to close the Balkan route. The bill, which must pass Parliament, also allows the…
Content Type: Examples
In October 2018 Amazon patented a new version of its Alexa virtual assistant that would analyse speech to identify signs of illness or emotion and offer to sell remedies. The patent also envisions using the technology to target ads. Although the company may never exploit the patent, the NHS had previously announced it intended to make information from its online NHS Choices service available via Alexa.
https://www.telegraph.co.uk/technology/2018/10/09/amazon-patents-new-alexa-feature-knows-…
Content Type: Examples
In March 2018 the Palo Alto startup Mindstrong Health, founded by three doctors, began clinical tests of an app that uses patients' interactions with their smartphones to monitor their mental state. The app, which is being tested on people with serious illness, measures the way patients swipe, tap, and type into their phones; the encrypted baseline and ongoing data is then analysed using machine learning to find patterns that indicate brain disorders such as a relapse into depression, substance…
Content Type: Examples
In a 2018 interview, the Stanford professor of organisational behaviour Michal Kosinski discussed his research, which included a controversial and widely debunked 2017 study claiming that his algorithms could distinguish gay and straight faces; a 2013 study of 58,000 people that explored the relationship between Facebook Likes and psychological and demographic characteristics; and the myPersonality project, which collected data on 6 million people via a personality quiz that went viral on…
Content Type: Examples
In 2018, a Duke University medical doctor who worked with Microsoft researchers to analyse millions of Bing user searches found links between some computer users' physical behaviours - tremors while using a mouse, repeated queries, and average scrolling speed - and Parkinson's disease. The hope was to be able to diagnose conditions like Parkinson's and Alzheimer's earlier and more accurately. Other such studies tracked participants via a weekly online health survey, mouse usage, and, via…
Content Type: Examples
In 2017, the Massachusetts attorney general's office reached an agreement under which Boston-based Copley Advertising agreed to eschew sending mobile ads to patients visiting Planned Parenthood and other health clinics. In 2015, Copley's geofencing technique used location information from smartphones and other internet-enabled devices to target "abortion-minded" women and send them ads for alternatives to abortion in a campaign it conducted on behalf of a Christian pregnancy counselling and…
Content Type: Examples
In 2011, the US Department of Homeland Security funded research into a virtual border agent kiosk called AVATAR, for Automated Virtual Agent for Truth Assessments in Real-Time, and tested it at the US-Mexico border on low-risk travellers who volunteered to participate. In the following years, the system was also tested by Canada's Border Services Agency in 2016 and the EU border agency Frontex in 2014. The research team behind the system, which included the University of Arizona, claimed the…
Content Type: Examples
In 2018, the EU announced iBorderCtrl, a six-month pilot led by the Hungarian National Police to install an automated lie detection test at four border crossing points in Hungary, Latvia, and Greece. The system uses an animated AI border agent that records travellers' faces while asking questions such as "What's in your suitcase?". The AI then analyses the video, scoring each response for 38 microexpressions. Travellers who pass will be issued QR codes to let them through; those who don't will…
Content Type: Examples
In July 2014, a study conducted by Adam D. I. Kramer (Facebook), Jamie E. Guillory, and Jeffrey T. Hancock (both Cornell University) and published by the Proceedings of the National Academy of Sciences alerted Facebook users to the fact that for one week in 2012 689,003 of them had been the subjects of research into "emotional contagion". In the study, the researchers changed randomly selected users' newsfeeds to be more positive or negative to study whether those users then displayed a more…
Content Type: Examples
The accuracy of Facebook's ad targeting sometimes leads users to believe that Facebook is spying on them by tapping the microphones in their phones. Facebook has denied the practice - and is likely telling the truth because uploading and scanning the amount of audio data such a system would involve an unattainable amount of processing power to understand context.
It sounds believable: Joanna Stern's mother told her to buy the decongestant Sudafed in the morning, and by afternoon she sees…
Content Type: Examples
The CEO of MoviePass, an app that charges users $10 a month in return for allowing them to watch a movie every day in any of the 90% of US theatres included in its programme, said in March 2018 that the company was exploring the idea of monetising the location data it collects. MoviePass was always open about its plans to profit from the data it collects, but it seems likely that its 1.5 million users assumed that meant ticket sales, movie choice, promotions, and so on - not detailed tracking…
Content Type: Examples
The Danish company Blip Systems deploys sensors in cities, airports, and railway stations to help understand and analyse traffic flows and improve planning. In the UK's city of Portsmouth, a network of BlipTrack sensors was installed in 2013 by VAR Smart CCTV, and the data it has collected is used to identify problem areas and detect changing traffic patterns. The city hope that adding more sensors to identify individual journeys will help reduce commuting times, fuel consumption, and vehicular…
Content Type: Examples
Designed for use by border guards, Unisys' LineSight software uses advanced data analytics and machine learning to help border guards decide whether to inspect travellers more closely before admitting them into their country. Unisys says the software assesses each traveller's risk beginning with the initial intent to travel and refines its assessment as more information becomes available at each stage of the journey - visa application, reservation, ticket purchase, seat selection, check-in, and…